Superresolution is a research area in the field of image processing and computer vision that focuses on enhancing the resolution of an image beyond its original limit. This involves methods and algorithms that aim to increase the detail and sharpness of images, allowing for better visual quality and more accurate analysis of the content. Superresolution techniques can be used in a variety of applications such as medical imaging, surveillance, remote sensing, and microscopy. Key approaches in superresolution include single-image superresolution, which uses algorithms to infer missing high-frequency information in low-resolution images, and multi-image superresolution, which involves combining multiple low-resolution images of the same scene to create a higher resolution image.